Only use data from season 2013-2014
| Var1 | Freq |
|---|---|
| Playoffs | 91 |
| Regular Season | 1221 |
penalty in games?
the manpower of the begining of games in period 2 and 3 is 0?
##
## lose tied_lose tied_win win
## 436 166 157 553
For GoalDiff = 0 plot, the value of count decreases from perid 1 to 3. In period 1, the trend goes down more significantly then in period 2 and 3, the value of count is below average after period 1.
## # A tibble: 6 x 4
## interval ManpowerDiff GoalDiff p
## <fct> <dbl> <dbl> <dbl>
## 1 (0,120] -1 -2 -0.650
## 2 (0,120] 0 -2 -0.694
## 3 (0,120] 1 -2 -2
## 4 (0,120] -1 -1 -0.658
## 5 (0,120] 0 -1 -0.379
## 6 (0,120] 1 -1 1.13
Different intervals - The trend of lines are almost same for different intervals, but smaller intervals give more details about the ups-and-downs of the count value.
Different counting method - It doesn’t have very significant difference of fluctuation between ratio method and after method, the main trend for each plot is quite similar.
Regular Season vs Playoffs - The plots of count values for Regular Season games are basically looks same as the plots for Regular Season + Playoffs games. For Playoffs games, although the data for Playoffs games are not that enough, but still can see the roughly trends. It approximatly flucduate similar as Regular Season.
home field advantage